SampEn_G generalizes sample entropy to graph signals via multi-hop graph embeddings based on the graph shift operator, reducing to the classical version on path graphs and showing sensitivity to nonlinear dynamics.
Biomedical Signal Processing and Control 5(1), 1–14 (2010)
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Sample entropy is extended to graph signals via topology-aware multi-hop embeddings to quantify nonlinear dynamics on networks.
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Sample entropy for graph signals: An approach to nonlinear analysis of graph signals
SampEn_G generalizes sample entropy to graph signals via multi-hop graph embeddings based on the graph shift operator, reducing to the classical version on path graphs and showing sensitivity to nonlinear dynamics.
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Sample entropy for graph signals: An approach to nonlinear dynamic analysis of data on networks
Sample entropy is extended to graph signals via topology-aware multi-hop embeddings to quantify nonlinear dynamics on networks.